{"id":"W7067198134","doi":"","title":"Les soulèvements arabes - ressources du CERI","year":2018,"lang":"fr","type":"article","venue":"SPIRE (Sciences Po)","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Government (linguistics); Legislation; Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.001336607,0.0003688544,0.0003181065,0.0001368776,0.003862232,0.0005703607,0.001156147,0.000283163,0.003780108],"category_scores_gemma":[0.0004276371,0.0003128416,0.0001721544,0.0008056819,0.01703604,0.001078061,0.0001578767,0.0001956288,0.00122308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007066748,"about_ca_system_score_gemma":0.000559275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05037712,"about_ca_topic_score_gemma":0.02476267,"domain_scores_codex":[0.9955939,0.0004603172,0.000562718,0.0008189347,0.001293744,0.001270388],"domain_scores_gemma":[0.9983574,0.0001515095,0.0003522575,0.0003379701,0.0004387771,0.0003621338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001933338,0.0004205912,0.2322675,0.0001021571,0.0001192002,0.00001610513,0.4796756,0.00007087123,0.0008209529,0.195319,0.05615244,0.03501623],"study_design_scores_gemma":[0.0002754999,0.0003119959,0.06183529,0.0001220583,0.00005701691,0.000006120342,0.06544167,0.0004991271,0.00183849,0.001092671,0.8679671,0.0005530067],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8485604,0.00174543,0.00005875228,0.033871,0.005152295,0.0003247373,0.00004548778,0.000125031,0.1101169],"genre_scores_gemma":[0.9301794,0.0003612324,0.0006604333,0.004861243,0.004310532,0.00001198566,0.000006941574,0.00002036129,0.05958792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8118146,"threshold_uncertainty_score":0.9999323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2124811098778709,"score_gpt":0.4344914235735228,"score_spread":0.2220103136956519,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}